Patrick K. Nicholson

552 citations
22 papers · 158 · h-index 7

Impact in

Papers in

Patrick K. Nicholson

19 papers receiving 156 citations

Peers

Patrick K. Nicholson
Comparison fields: 5 of 50
  • Computer Networks and Communications 68
  • Artificial Intelligence 73
  • Information Systems 41
  • Signal Processing 15
  • Software 5
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Limin Liu China
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Citations per field
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Citations per year

Countries citing papers authored by Patrick K. Nicholson

Since Specialization
Citations

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

Fields of papers citing papers by Patrick K. Nicholson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Patrick K. Nicholson. 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 Patrick K. Nicholson. The network helps show where Patrick K. Nicholson may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201928
2 202025
3 201922
4 201822
5 201719
6 20188
7 20167
8 20216
9 20123
10
Contraceptive Use In Women With Rheumatologic Disease Taking Disease Modifying Anti-rheumatic Drugs: Rhpa-p2
20152
11 20122
12 20152
13 20112
14 20132
15 20172
16 20152
17 20172
18 20181
19 20211
20 20160

About Patrick K. Nicholson

Patrick K. Nicholson is a scholar working on Artificial Intelligence, Computer Networks and Communications, Signal Processing, Information Systems and Computational Theory and Mathematics, having authored 22 papers that have together received 158 indexed citations. Recurring topics across this work include Algorithms and Data Compression (8 papers), Data Management and Algorithms (6 papers), Advanced Graph Neural Networks (3 papers), Advanced Image and Video Retrieval Techniques (3 papers), Topic Modeling (3 papers), Natural Language Processing Techniques (2 papers), Error Correcting Code Techniques (2 papers) and Advanced Graph Theory Research (2 papers). The work is most often cited by research in Computer Networks and Communications (68 citations), Artificial Intelligence (73 citations), Information Systems (41 citations), Signal Processing (15 citations) and Software (5 citations). Patrick K. Nicholson has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Alessandra Sala, Deepak Ajwani, Srinivasan Parthasarathy, Ada Gavrilovska, Johannes Grohmann, Samuel Kounev, Sourav Dutta, Ashwin Rao, Jiankai Sun and Sasu Tarkoma. Their work appears in journals such as Theoretical Computer Science, IEEE Journal on Selected Areas in Communications, ACM Transactions on Knowledge Discovery from Data, Information Processing & Management and Algorithmica.

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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