J. Nievergelt

49 papers receiving 1.4k citations

Hit Papers

The Grid File19842026199820121984200400600

Peers

J. Nievergelt
Comparison fields: 5 of 119
  • Signal Processing 778
  • Computer Networks and Communications 676
  • Artificial Intelligence 518
  • Computer Vision and Pattern Recognition 337
  • Information Systems 239
Replace Clark D. Thompson with:
Clark D. Thompson United States
Torsten Suel United States
Jürg Nievergelt Switzerland
Der-Tsai Lee Taiwan
Alexandr Andoni United States
S. Rao Kosaraju United States
Komei Fukuda Switzerland
Nicola Santoro Canada
Frank Olaf Wagner France
Guy Even Israel
J. Nievergelt relative to Clark D. Thompson United States Clark D. Thompson's profile →
Citations per field
00.5×7.5×
Clark D. Thompson · 1×
Citations per year

Countries citing papers authored by J. Nievergelt

Since Specialization
Citations

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

Fields of papers citing papers by J. Nievergelt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Nievergelt

This figure shows the co-authorship network connecting the top 25 collaborators of J. Nievergelt. A scholar is included among the top collaborators of J. Nievergelt based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with J. Nievergelt. J. Nievergelt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 4
2 3
3 2
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Information content of chess positions: implications for game-specific knowledge of chess players
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5
[Plastic correction of thoracic wall burns with reference to the female breast].
2
6 35
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Sites, modes, and trails: Telling the user of an interactive system where he is, what he can do, and how to get to places (excerpt)
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8 3
9 6
10 2
11 1
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The Grid Filebreakdown →
717
13 24
14 5
15 45
16 6
17 164
18 3
19 28
20 119

About J. Nievergelt

J. Nievergelt is a scholar working on Computer Graphics and Computer-Aided Design, Signal Processing and Human-Computer Interaction, having authored 50 papers that have together received 1.7k indexed citations. Recurring topics across this work include Algorithms and Data Compression (8 papers), Data Management and Algorithms (5 papers) and semigroups and automata theory (3 papers). The work is most often cited by research in Signal Processing (778 citations), Computer Graphics and Computer-Aided Design (211 citations) and Computer Networks and Communications (676 citations). J. Nievergelt has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include Kenneth C. Sevcik, Hans Hinterberger, Edward M. Reingold, F. P. Preparata, Bernhard Plattner, Ulrich W. Suter, Martin Müller, Klaus Hinrichs, H. Abdel-Wahab and Chris K.C. Wong. Their work appears in journals such as The Journal of Chemical Physics, IEEE Transactions on Information Theory and Communications of the ACM.

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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2026