Mark Bergman

23 papers receiving 830 citations

Peers

Mark Bergman
Comparison fields: 5 of 98
  • Health Informatics 26
  • Management Information Systems 122
  • Neurology 76
  • Radiology, Nuclear Medicine and Imaging 195
  • Genetics 53
Replace Muhammad Waqas Nadeem with:
Muhammad Waqas Nadeem Pakistan
Gopal Krishna Nayak India
Chao Huang United States
Dulani Meedeniya Sri Lanka
Hamza Abu Owida Jordan
Mihalj Bakator Serbia
Rami S. Alkhawaldeh Jordan
Joshua Underwood United Kingdom
Shahan Yamin Siddiqui Pakistan
A. A. Abd El-Aziz Saudi Arabia
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Citations per field
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Muhammad Waqas Nadeem · 1×
Citations per year

Countries citing papers authored by Mark Bergman

Since Specialization
Citations

This map shows the geographic impact of Mark Bergman's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Mark Bergman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Bergman more than expected).

Fields of papers citing papers by Mark Bergman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark Bergman. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Mark Bergman. The network helps show where Mark Bergman may publish in the future.

Co-authors

The 25 scholars most cited alongside Mark Bergman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mark Bergman Line = papers co-authored together Mark Bergman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018163
2 2007146
3 2000136
4 200293
5 202065
6 201363
7 201838
8 202033
9 202328
10 202322
11 200220
12 200617
13 202017
14 202413
15 200311
16 20206
17
Application of Ecological Risk Assessment in River Management
20015
18 20025
19 20045
20
Requirements for Supporting Dynamic and Adaptive Workflow on the WWW
19982

About Mark Bergman

Mark Bergman is a scholar working on Control and Systems Engineering, Information Systems, Radiology, Nuclear Medicine and Imaging, Management Information Systems and Safety, Risk, Reliability and Quality, having authored 25 papers that have together received 893 indexed citations. Recurring topics across this work include Systems Engineering Methodologies and Applications (7 papers), Software Engineering Techniques and Practices (7 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), Business Process Modeling and Analysis (3 papers), Technology Assessment and Management (2 papers), Information Systems Theories and Implementation (2 papers), Advanced Software Engineering Methodologies (2 papers) and Artificial Intelligence in Healthcare and Education (1 paper). The work is most often cited by research in Health Informatics (26 citations), Management Information Systems (122 citations), Neurology (76 citations), Radiology, Nuclear Medicine and Imaging (195 citations) and Genetics (53 citations). Mark Bergman has collaborated with scholars based in United States, Australia and Germany. Frequent co-authors include Kalle Lyytinen, Gloria J. Mark, John Leslie King, Gregory Alan Bolcer, Richard N. Taylor, Joel N. Saltzman, Joseph A. Bokar, Vinay K. Gudena, Neal J. Meropol and Joseph Gibbons. Their work appears in journals such as Journal of the Association for Information Systems, Proceedings of the National Academy of Sciences, Translational Psychiatry, Requirements Engineering and JCO Clinical Cancer Informatics.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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