Stephen Heisig

678 citations
21 papers · 213 · h-index 9

Impact in

Papers in

    • Distributed systems and fault tolerance 3
    • Distributed and Parallel Computing Systems 3
    • Software System Performance and Reliability 2
    • Neurological disorders and treatments 3
    • Parkinson's Disease Mechanisms and Treatments 3

Stephen Heisig

21 papers receiving 207 citations

Peers

Stephen Heisig
Comparison fields: 5 of 72
  • Human-Computer Interaction 16
  • Cognitive Neuroscience 49
  • Physical Therapy, Sports Therapy and Rehabilitation 11
  • Psychiatry and Mental health 33
  • Neurology 31
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Zhuoming Chen China
Abdelkader Gouaïch France
Mevludin Memedi Sweden
Maria Yancheva Canada
Marta Bieńkiewicz United Kingdom
Jaehun Kim South Korea
Leslie Mahler United States
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Citations per field
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Citations per year

Countries citing papers authored by Stephen Heisig

Since Specialization
Citations

This map shows the geographic impact of Stephen Heisig'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 Stephen Heisig with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen Heisig more than expected).

Fields of papers citing papers by Stephen Heisig

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen Heisig. 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 Stephen Heisig. The network helps show where Stephen Heisig may publish in the future.

Co-authors

The 25 scholars most cited alongside Stephen Heisig, 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 Stephen Heisig Line = papers co-authored together Stephen Heisig links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202034
2 202228
3 201827
4 202120
5 201816
6 202015
7 202111
8 20239
9 20179
10 20108
11 20058
12 20217
13 20036
14 20044
15 20093
16 20133
17 20211
18 20221
19 20191
20 20201

About Stephen Heisig

Stephen Heisig is a scholar working on Computer Networks and Communications, Neurology, Clinical Psychology, Experimental and Cognitive Psychology and Information Systems, having authored 21 papers that have together received 213 indexed citations. Recurring topics across this work include Muscle activation and electromyography studies (3 papers), Distributed systems and fault tolerance (3 papers), Neurological disorders and treatments (3 papers), Parkinson's Disease Mechanisms and Treatments (3 papers), Distributed and Parallel Computing Systems (3 papers), Software System Performance and Reliability (2 papers), Personality Disorders and Psychopathology (2 papers) and Psychotherapy Techniques and Applications (2 papers). The work is most often cited by research in Human-Computer Interaction (16 citations), Cognitive Neuroscience (49 citations), Physical Therapy, Sports Therapy and Rehabilitation (11 citations), Psychiatry and Mental health (33 citations) and Neurology (31 citations). Stephen Heisig has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Guillermo Cecchi, Carla Agurto, Vittorio Caggiano, Bryan Ho, Hui Zhang, Paul W. Wacnik, John Jeremy Rice, Raquel Norel, Katsuyuki Sakuma and Wim De Pauw. Their work appears in journals such as IBM Journal of Research and Development, Biological Psychiatry, Scientific Reports, iScience and Schizophrenia.

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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