The chart shows the distribution of publications by all Research.com ranked scientists in the field of Mathematics in 2026. The highlighted bar marks where Ulrich Pferschy sits on this spectrum.
This scientist: 159 publications — 43rd percentile
43% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 537 publications or more.
The chart shows the D-index (discipline H-index) distribution of Mathematics scientists ranked by Research.com in 2026. The highlighted bar marks where Ulrich Pferschy sits on this spectrum.
This scientist: 33 D-Index — 17th percentile
17% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 86 D-Index or more.
Ulrich Pferschy is affiliated with the University of Graz in Austria and has a research profile focused on engineering and computer science. Their work spans several specialized subfields, including industrial and manufacturing engineering, computer networks and communications, management science and operations research, computational theory and mathematics, and electrical and electronic engineering.
The primary thematic areas of Pferschy's scholarly contributions include:
Pferschy has coauthored publications with several researchers, most frequently collaborating with Joachim Schauer, Nina Chiarelli, Martin Milanič, Stefan Lendl, and Gaia Nicosia. These partnerships indicate engagement with a network of researchers working in complementary areas within operations research and applied optimization.
The scholar's publication record includes articles in multiple well-known venues. Among the most frequent publication platforms are arXiv (Cornell University), SSRN Electronic Journal, European Journal of Operational Research, Journal of Scheduling, and Computers & Operations Research.
Notable recent papers by Ulrich Pferschy include:
Other topical papers by coauthors but relevant to the network of work include "Planning a zero-emission mixed-fleet public bus system with minimal life cycle cost" (2023, Public Transport) and "Mean-variance portfolio optimization based on ordinal information" (2020, Journal of Banking & Finance).
Ulrich Pferschy's work predominantly addresses optimization methodologies and algorithmic challenges related to manufacturing, logistics, scheduling, and game-theoretic contexts. The scholar's expertise in optimization problems is reflected through publications that explore both theoretical and applied aspects, covering various problem formulations and algorithmic solutions within operational research.
Hans Kellerer;Ulrich Pferschy;David Pisinger
Ivana Ljubić;René Weiskircher;Ulrich Pferschy;Gunnar W. Klau
Jakob Puchinger;Günther R. Raidl;Ulrich Pferschy
Alberto Caprara;Hans Kellerer;Ulrich Pferschy;David Pisinger
Hans Kellerer;Ulrich Pferschy;David Pisinger
Ulrich Pferschy;Joachim Schauer
Thomas Erlebach;Hans Kellerer;Ulrich Pferschy
Alberto Caprara;Hans Kellerer;Ulrich Pferschy
Andreas Darmann;Ulrich Pferschy;Joachim Schauer;Gerhard J. Woeginger
Hans Kellerer;Ulrich Pferschy
Hans Kellerer;Ulrich Pferschy
Jakob Puchinger;Günther R. Raidl;Ulrich Pferschy
Hans Kellerer;Ulrich Pferschy;David Pisinger
Hans Kellerer;Renata Mansini;Ulrich Pferschy;Maria Grazia Speranza
Gunnar W. Klau;Ivana Ljubic;Andreas Moser;Petra Mutzel
Unknown
Michele Monaci;Ulrich Pferschy;Paolo Serafini
Ulrich Pferschy;Joachim Schauer
Karin Bogner;Ulrich Pferschy;Roland Unterberger;Herwig Zeiner
Alberto Caprara;Hans Kellerer;Ulrich Pferschy
U. Pferschy
Ulrich Pferschy;Rostislav Stanek
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