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Falk Scholer

Falk Scholer

RMIT University
Australia

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 33 12671 12303 381 380 207 4717

Falk Scholer publications per year

The chart shows the history of publications by Falk Scholer between 2002 and 2026, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Falk Scholer published across 25 years, from 2002 to 2026, averaging 8.9 papers a year. Output peaked at 17 publications in 2017. 16 of the 222 publications appeared in the last two years.

No. of publications
5 10 15
Bar chart. Horizontal axis: year, 2002 to 2026. Vertical axis: number of publications, 0 to 17. Peak 17 publications in 2017. 2002: 4 publications 2003: 2 publications 2004: 1 publication 2005: 3 publications 2006: 7 publications 2007: 9 publications 2008: 12 publications 2009: 8 publications 2010: 11 publications 2011: 12 publications 2012: 12 publications 2013: 10 publications 2014: 11 publications 2015: 16 publications 2016: 11 publications 2017: 17 publications 2018: 12 publications 2019: 7 publications 2020: 6 publications 2021: 12 publications 2022: 8 publications 2023: 6 publications 2024: 9 publications 2025: 15 publications 2026: 1 publication
2002 2026

222 publications in total across all disciplines

View publications per year as a table
Falk Scholer: publications per year, 2002 to 2026
Year Publications
2002 4
2003 2
2004 1
2005 3
2006 7
2007 9
2008 12
2009 8
2010 11
2011 12
2012 12
2013 10
2014 11
2015 16
2016 11
2017 17
2018 12
2019 7
2020 6
2021 12
2022 8
2023 6
2024 9
2025 15
2026 1
Total 222
Download as CSV

Falk Scholer publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Falk Scholer sits on this spectrum.

No. of scientists
200 400 600
Bar chart with 97 bars. Horizontal axis: publications, 32–41 to 991+. Vertical axis: number of scientists, 0 to 609. Most scientists, 609, have 142–151 publications. The last bar groups every scientist with 991 publications or more. The highlighted bar, 202–211 publications, is where this scientist sits. 32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32–41 publications 991+

This scientist: 207 publications — 49th percentile

49% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

View publications distribution as a table
Number of Computer Science scientists by publication count, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
Publications Scientists This scientist
32–41 7
42–51 22
52–61 82
62–71 134
72–81 249
82–91 324
92–101 421
102–111 420
112–121 497
122–131 544
132–141 555
142–151 609
152–161 559
162–171 534
172–181 556
182–191 583
192–201 519
202–211 508 207
212–221 490
222–231 437
232–241 423
242–251 408
252–261 377
262–271 301
272–281 335
282–291 320
292–301 293
302–311 250
312–321 238
322–331 206
332–341 209
342–351 208
352–361 162
362–371 176
372–381 127
382–391 158
392–401 128
402–411 104
412–421 94
422–431 99
432–441 83
442–451 108
452–461 73
462–471 77
472–481 69
482–491 84
492–501 62
502–511 54
512–521 57
522–531 51
532–541 51
542–551 32
552–561 38
562–571 28
572–581 43
582–591 33
592–601 41
602–611 32
612–621 28
622–631 25
632–641 27
642–651 17
652–661 20
662–671 17
672–681 15
682–691 14
692–701 21
702–711 13
712–721 12
722–731 19
732–741 14
742–751 12
752–761 10
762–771 10
772–781 11
782–791 10
792–801 11
802–811 8
812–821 8
822–831 7
832–841 11
842–851 10
852–861 5
862–871 9
872–881 4
882–891 6
892–901 3
902–911 6
912–921 3
922–931 2
932–941 2
942–951 2
952–961 3
962–971 3
972–981 3
982–990 5
991+ 100
Download as CSV

Falk Scholer D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Falk Scholer sits on this spectrum.

No. of scientists
200 400 600 800
Bar chart with 52 bars. Horizontal axis: D-Index, 30–31 to 131+. Vertical axis: number of scientists, 0 to 990. Most scientists, 990, have 36–37 D-Index. The last bar groups every scientist with 131 D-Index or more. The highlighted bar, 32–33 D-Index, is where this scientist sits. 30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30–31 D-Index 131+

This scientist: 33 D-Index — 13th percentile

13% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

View D-Index distribution as a table
Number of Computer Science scientists by D-index, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
D-Index Scientists This scientist
30–31 879
32–33 983 33
34–35 918
36–37 990
38–39 968
40–41 907
42–43 821
44–45 763
46–47 689
48–49 543
50–51 543
52–53 518
54–55 500
56–57 458
58–59 400
60–61 337
62–63 308
64–65 292
66–67 249
68–69 213
70–71 192
72–73 189
74–75 165
76–77 139
78–79 119
80–81 121
82–83 113
84–85 88
86–87 87
88–89 75
90–91 69
92–93 57
94–95 46
96–97 38
98–99 34
100–101 36
102–103 27
104–105 37
106–107 18
108–109 31
110–111 19
112–113 16
114–115 12
116–117 20
118–119 15
120–121 5
122–123 20
124–125 8
126–127 5
128–129 7
130 3
131+ 98
Download as CSV

Overview

Falk Scholer is affiliated with RMIT University in Australia and has contributed extensively to the field of Computer Science, with a particular focus on Information Systems and Artificial Intelligence. Their body of work also touches on Sociology and Political Science, Computer Science Applications, and Cognitive Neuroscience.

Their research covers a range of specialized topics including:

  • Information Retrieval and Search Behavior
  • Expert finding and Q&A systems
  • Topic Modeling
  • Mobile Crowdsensing and Crowdsourcing
  • Misinformation and Its Impacts
  • Personal Information Management and User Behavior
  • Advanced Database Systems and Queries

Scholer has published numerous papers in several venues, with a notable presence in arXiv (Cornell University), hosting five publications. Other frequent venues include the Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, ACM Transactions on Information Systems, PLoS ONE, and Information Processing & Management.

Recent publications illustrate the scope of Scholer's work:

  • "No one is immune to misinformation: An investigation of misinformation sharing by subscribers to a fact-checking newsletter" (2021) in PLoS ONE
  • "On the effect of relevance scales in crowdsourcing relevance assessments for Information Retrieval evaluation" (2021) in Information Processing & Management
  • "A review of public datasets in question answering research" (2020) in ACM SIGIR Forum
  • "A Non-Factoid Question-Answering Taxonomy" (2022) in the Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval
  • "sMARE: a new paradigm to evaluate and understand query performance prediction methods" (2022) in Information Retrieval

Their collaborative work is evidenced by frequent co-authorships with several researchers, including:

  • Damiano Spina
  • Mark Sanderson
  • Johanne R. Trippas
  • Leila Tavakoli
  • Hamed Zamani

Best Publications

  • User performance versus precision measures for simple search tasks

    Andrew Turpin;Falk Scholer

  • Compression of inverted indexes For fast query evaluation

    Falk Scholer;Hugh E. Williams;John Yiannis;Justin Zobel

  • Research Frontiers in Information Retrieval: Report from the Third Strategic Workshop on Information Retrieval in Lorne (SWIRL 2018)

    J. Shane Culpepper;Fernando Diaz;Mark D. Smucker

  • Query expansion using associated queries

    Bodo Billerbeck;Falk Scholer;Hugh E. Williams;Justin Zobel

  • Effective pre-retrieval query performance prediction using similarity and variability evidence

    Ying Zhao;Falk Scholer;Yohannes Tsegay

  • Machine transliteration survey

    Sarvnaz Karimi;Falk Scholer;Andrew Turpin

  • On Crowdsourcing Relevance Magnitudes for Information Retrieval Evaluation

    Eddy Maddalena;Stefano Mizzaro;Falk Scholer;Andrew Turpin

  • Users versus models: what observation tells us about effectiveness metrics

    Alistair Moffat;Paul Thomas;Falk Scholer

  • Incorporating User Expectations and Behavior into the Measurement of Search Effectiveness

    Alistair Moffat;Peter Bailey;Falk Scholer;Paul Thomas

  • Quantifying test collection quality based on the consistency of relevance judgements

    Falk Scholer;Andrew Turpin;Mark Sanderson

  • The effect of threshold priming and need for cognition on relevance calibration and assessment

    Falk Scholer;Diane Kelly;Wan-Ching Wu;Hanseul S. Lee

  • Query association surrogates for Web search

    Falk Scholer;Hugh E. Williams;Andrew Turpin

  • UQV100: A Test Collection with Query Variability

    Peter Bailey;Alistair Moffat;Falk Scholer;Paul Thomas

  • Beyond Factoid QA: Effective Methods for Non-factoid Answer Sentence Retrieval

    Liu Yang;Qingyao Ai;Damiano Spina;Ruey-Cheng Chen

  • Effective Pre-retrieval Query Performance Prediction Using Similarity and Variability Evidence

    Unknown

  • User Variability and IR System Evaluation

    Peter Bailey;Alistair Moffat;Falk Scholer;Paul Thomas

  • Capturing collection size for distributed non-cooperative retrieval

    Milad Shokouhi;Justin Zobel;Falk Scholer;S. M. M. Tahaghoghi

  • Invited paper: Visualizing search results and document collections using topic maps

    David Newman;Timothy Baldwin;Lawrence Cavedon;Eric Huang

  • Boolean versus ranked querying for biomedical systematic reviews

    Sarvnaz Karimi;Stefan Pohl;Falk Scholer;Lawrence Cavedon;Lawrence Cavedon

  • Including summaries in system evaluation

    Andrew Turpin;Falk Scholer;Kalvero Jarvelin;Mingfang Wu

  • The TREC 2005 Terabyte Track

    Charles L. A. Clarke;Falk Scholer;Ian Soboroff

  • No one is immune to misinformation: An investigation of misinformation sharing by subscribers to a fact-checking newsletter.

    Lauren L. Saling;Devi Mallal;Falk Scholer;Russell Skelton

Frequent Co-Authors

Mark Sanderson
Mark Sanderson RMIT University
Andrew Turpin
Andrew Turpin University of Melbourne
Alistair Moffat
Alistair Moffat University of Melbourne
Justin Zobel
Justin Zobel University of Melbourne
Lawrence Cavedon
Lawrence Cavedon RMIT University
W. Bruce Croft
W. Bruce Croft University of Massachusetts Amherst
Timothy Baldwin
Timothy Baldwin University of Melbourne
Hugh E. Williams
Hugh E. Williams RMIT University
Jaap Kamps
Jaap Kamps University of Amsterdam
Simon J. Puglisi
Simon J. Puglisi University of Helsinki

External Links

Personal website of Falk Scholer

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Best Scientists Citing Falk Scholer

Alistair Moffat

Alistair Moffat

University of Melbourne

Publications: 57

Leif Azzopardi

Leif Azzopardi

University of Strathclyde

Publications: 41

Justin Zobel

Justin Zobel

University of Melbourne

Publications: 32

W. Bruce Croft

W. Bruce Croft

University of Massachusetts Amherst

Publications: 31

Charles L. A. Clarke

Charles L. A. Clarke

University of Waterloo

Publications: 28

Iadh Ounis

Iadh Ounis

University of Glasgow

Publications: 27

Guido Zuccon

Guido Zuccon

University of Queensland

Publications: 26

Tetsuya Sakai

Tetsuya Sakai

Waseda University

Publications: 25

Craig Macdonald

Craig Macdonald

University of Glasgow

Publications: 23

Min Zhang

Min Zhang

Tsinghua University

Publications: 23

Mark Sanderson

Mark Sanderson

RMIT University

Publications: 22

Maarten de Rijke

Maarten de Rijke

University of Amsterdam

Publications: 21

Jimmy Lin

Jimmy Lin

University of Waterloo

Publications: 20

Nick Craswell

Nick Craswell

Microsoft (United States)

Publications: 16

Djoerd Hiemstra

Djoerd Hiemstra

Radboud University

Publications: 16

Kalervo Järvelin

Kalervo Järvelin

Tampere University

Publications: 14

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