H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science D-index 55 Citations 10,283 449 World Ranking 2152 National Ranking 1169

Research.com Recognitions

Awards & Achievements

2008 - SPIE Fellow

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Statistics
  • Operating system

His primary scientific interests are in Artificial intelligence, Sensor fusion, Computer vision, Situation awareness and Data science. He combines subjects such as Machine learning and Pattern recognition with his study of Artificial intelligence. The concepts of his Sensor fusion study are interwoven with issues in Ontology, Systems design, Information system and Human–computer interaction.

The study incorporates disciplines such as Fictitious play, Cyber-attack, Intrusion detection system, Markov chain and Adaptive control in addition to Situation awareness. He combines subjects such as Information management, Knowledge management, Reasoning system and Logical reasoning with his study of Data science. His research investigates the connection between Image processing and topics such as Image fusion that intersect with problems in Night vision, Pixel, Image segmentation and Algorithm.

His most cited work include:

  • Encoding Color Information for Visual Tracking: Algorithms and Benchmark (418 citations)
  • Objective Assessment of Multiresolution Image Fusion Algorithms for Context Enhancement in Night Vision: A Comparative Study (381 citations)
  • Kalman Filtering with Nonlinear State Constraints (151 citations)

What are the main themes of his work throughout his whole career to date?

Artificial intelligence, Computer vision, Sensor fusion, Situation awareness and Data mining are his primary areas of study. His research in Artificial intelligence intersects with topics in Machine learning and Pattern recognition. His Computer vision study frequently draws connections to adjacent fields such as Radar.

His study connects Identification and Sensor fusion. His Situation awareness study frequently draws connections to other fields, such as Human–computer interaction. His research brings together the fields of Image quality and Image fusion.

He most often published in these fields:

  • Artificial intelligence (38.82%)
  • Computer vision (23.36%)
  • Sensor fusion (16.78%)

What were the highlights of his more recent work (between 2016-2021)?

  • Artificial intelligence (38.82%)
  • Situation awareness (12.83%)
  • Computer vision (23.36%)

In recent papers he was focusing on the following fields of study:

Erik Blasch mostly deals with Artificial intelligence, Situation awareness, Computer vision, Machine learning and Image fusion. In his work, Pixel is strongly intertwined with Pattern recognition, which is a subfield of Artificial intelligence. His research on Situation awareness also deals with topics like

  • Data science and Information fusion most often made with reference to Big data,
  • Inference together with Markov chain.

His Robot research extends to Computer vision, which is thematically connected. His Machine learning research includes themes of Robustness and Knowledge representation and reasoning. His work deals with themes such as Image quality and Data mining, Identification, which intersect with Image fusion.

Between 2016 and 2021, his most popular works were:

  • Game Theory for Cyber Security and Privacy (95 citations)
  • Combining Convolutional and Recurrent Neural Networks for Human Skin Detection (68 citations)
  • Statistical comparison of image fusion algorithms: Recommendations (46 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Statistics
  • Operating system

Erik Blasch spends much of his time researching Artificial intelligence, Analytics, Data science, Situation awareness and Machine learning. His Artificial intelligence research is multidisciplinary, relying on both Radar, Computer vision and Pattern recognition. Erik Blasch focuses mostly in the field of Computer vision, narrowing it down to matters related to Task analysis and, in some cases, Image fusion.

His studies in Analytics integrate themes in fields like Ontology, Avionics, Collision avoidance, Harm and Security assessment. His study in Data science is interdisciplinary in nature, drawing from both Edge computing, Cloud computing, Focus, Data analysis and Big data. His Situation awareness research is multidisciplinary, incorporating perspectives in Information exchange, Visualization, Space object and Brooks–Iyengar algorithm.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Encoding Color Information for Visual Tracking: Algorithms and Benchmark

Pengpeng Liang;Erik Blasch;Haibin Ling.
IEEE Transactions on Image Processing (2015)

499 Citations

Objective Assessment of Multiresolution Image Fusion Algorithms for Context Enhancement in Night Vision: A Comparative Study

Z. Liu;E. Blasch;Z. Xue;J. Zhao.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2012)

485 Citations

High-Level Information Fusion Management and System Design

Erik Blasch;Éloi Bossé;Dale Lambert.
(2012)

318 Citations

Scalable sentiment classification for Big Data analysis using Naïve Bayes Classifier

Bingwei Liu;Erik Blasch;Yu Chen;Dan Shen.
international conference on big data (2013)

239 Citations

Issues and challenges of knowledge representation and reasoning methods in situation assessment (Level 2 Fusion)

Erik Blasch;Ivan Kadar;John Salerno;Mieczyslaw M. Kokar.
Proceedings of SPIE, the International Society for Optical Engineering (2006)

236 Citations

Kalman Filtering with Nonlinear State Constraints

Chun Yang;E. Blasch.
IEEE Transactions on Aerospace and Electronic Systems (2009)

228 Citations

JDL level 5 fusion model: user refinement issues and applications in group tracking

Erik P. Blasch;Susan Plano.
Signal processing, sensor fusion, and target recognition. Conference (2002)

221 Citations

Issues and Challenges in Situation Assessment (Level 2 Fusion)

Erik Blasch;Ivan Kadar;John S. Salerno;Mieczyslaw M. Kokar.
Journal of Advances in Information Fusion (2006)

169 Citations

Revisiting the JDL model for information exploitation

Erik Blasch;Alan Steinberg;Subrata Das;James Llinas.
international conference on information fusion (2013)

169 Citations

DFIG Level 5 (User Refinement) issues supporting Situational Assessment Reasoning

E. Blasch;S. Plano.
international conference on information fusion (2005)

165 Citations

If you think any of the details on this page are incorrect, let us know.

Contact us

Best Scientists Citing Erik Blasch

Haibin Ling

Haibin Ling

Stony Brook University

Publications: 36

Kannappan Palaniappan

Kannappan Palaniappan

University of Missouri

Publications: 21

Ming-Hsuan Yang

Ming-Hsuan Yang

University of California, Merced

Publications: 19

X. Rong Li

X. Rong Li

University of New Orleans

Publications: 18

Huchuan Lu

Huchuan Lu

Dalian University of Technology

Publications: 16

Martin Danelljan

Martin Danelljan

ETH Zurich

Publications: 13

Fahad Shahbaz Khan

Fahad Shahbaz Khan

Zayed University

Publications: 13

Michael Felsberg

Michael Felsberg

Linköping University

Publications: 12

Jean Dezert

Jean Dezert

Office National d'Études et de Recherches Aérospatiales

Publications: 12

Wengang Zhou

Wengang Zhou

University of Science and Technology of China

Publications: 12

Houqiang Li

Houqiang Li

University of Science and Technology of China

Publications: 12

Weiming Hu

Weiming Hu

Chinese Academy of Sciences

Publications: 11

Matej Kristan

Matej Kristan

University of Ljubljana

Publications: 9

Tianzhu Zhang

Tianzhu Zhang

University of Science and Technology of China

Publications: 9

Wei Yu

Wei Yu

Towson University

Publications: 9

Asok Ray

Asok Ray

Pennsylvania State University

Publications: 9

Something went wrong. Please try again later.