Stephen Mock

2.0k citations
42 papers · 1.2k · h-index 15

Impact in

Papers in

Stephen Mock

41 papers receiving 1.1k citations

Peers

Stephen Mock
Comparison fields: 5 of 118
  • Information Systems and Management 385
  • Urology 166
  • Computer Networks and Communications 371
  • Structural Biology 12
  • Rheumatology 109
Replace Philipp Neumann with:
Philipp Neumann Germany
Brian Hutchinson United States
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Dingsheng Liu China
Hong Yi China
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Stephen Mock relative to Philipp Neumann Germany Philipp Neumann's profile →
Citations per field
00.5×10×20×30×41.5×
Philipp Neumann · 1×
Citations per year

Countries citing papers authored by Stephen Mock

Since Specialization
Citations

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

Fields of papers citing papers by Stephen Mock

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004314
2 2017229
3 2010114
4 201448
5 200346
6 201437
7 201536
8 200236
9 201534
10 201432
11 201631
12 201329
13 201619
14 200615
15 201614
16 200513
17 201511
18 201310
19 201610
20 20169

About Stephen Mock

Stephen Mock is a scholar working on Computer Networks and Communications, Information Systems and Management, Urology, Surgery and Information Systems, having authored 42 papers that have together received 1.2k indexed citations. Recurring topics across this work include Scientific Computing and Data Management (14 papers), Distributed and Parallel Computing Systems (12 papers), Advanced Data Storage Technologies (7 papers), Urinary Bladder and Prostate Research (5 papers), Pelvic floor disorders treatments (5 papers), Bladder and Urothelial Cancer Treatments (4 papers), Research Data Management Practices (4 papers) and Advanced Database Systems and Queries (2 papers). The work is most often cited by research in Information Systems and Management (385 citations), Urology (166 citations), Computer Networks and Communications (371 citations), Structural Biology (12 citations) and Rheumatology (109 citations). Stephen Mock has collaborated with scholars based in United States, Switzerland and Russia. Frequent co-authors include İlkay Altıntaş, Bertram Ludäscher, Chad Berkley, Matthew B. Jones, Roger R. Dmochowski, William M. Reynolds, Melissa R. Kaufman, David J. Osborn, Douglas F. Milam and Matthew Hanlon. Their work appears in journals such as Urology, The Journal of Urology, Neurourology and Urodynamics, International Journal of Urology and Clinical Cancer Research.

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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