Frank Victor

717 citations
24 papers · 446 indexed · h-index 8
Topics
Skin and Cellular Biology Research (3 papers)Model-Driven Software Engineering Techniques (3 papers)Digital Innovation in Industries (3 papers)
Partner nations
United StatesGermany

In The Last Decade

Frank Victor

23 papers receiving 407 citations

Peers

Frank Victor
Comparison fields: 5 of 101
  • Dermatology 199
  • Immunology 125
  • Surgery 107
  • Oncology 66
  • Molecular Biology 57
Replace Maria Vittoria Cannizzaro with:
Maria Vittoria Cannizzaro Italy
Qian Yu China
Larry L. Peterson United States
Aimee L Leonard United States
Alexander Stratigos Greece
Shu Ding China
Paul Fogel France
San Xu China
Claudia S. Vetter‐Kauczok Germany
Eriko Komiya Japan
Frank Victor relative to Maria Vittoria Cannizzaro Italy Maria Vittoria Cannizzaro's profile →
Citations per field
00.5×2.6×
Maria Vittoria Cannizzaro · 1×
Citations per year

Countries citing papers authored by Frank Victor

Since Specialization
Citations

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

Fields of papers citing papers by Frank Victor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Frank Victor

This figure shows the co-authorship network connecting the top 25 collaborators of Frank Victor. A scholar is included among the top collaborators of Frank Victor 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 Frank Victor. Frank Victor 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 3
2 4
3 15
4 55
5 69
6 54
7 7
8
Lamellar ichthyosis - eScholarship
1
9
Lamellar ichthyosis.
1
10 1
11 7
12 6
13 70
14
TNF-alpha and apoptosis: implications for the pathogenesis and treatment of psoriasis.
106
15 1
16
PRAGMA: a system for actively capturing procedural knowledge via a graphical interface
1
17
A design tool for autonomous group agents
4
18
Supporting the design of office procedures in the DOMINO system
12
19
Ein rechnergestützter Bürosimulator auf der Basis von PrT-Netzen und Prolog.
1
20 2

About Frank Victor

Frank Victor is a scholar working on Software, Dermatology and Management of Technology and Innovation, having authored 24 papers that have together received 446 indexed citations. Recurring topics across this work include Skin and Cellular Biology Research (3 papers), Model-Driven Software Engineering Techniques (3 papers) and Digital Innovation in Industries (3 papers). The work is most often cited by research in Dermatology (199 citations), Immunology (125 citations) and Immunology and Allergy (24 citations). Frank Victor has collaborated with scholars based in United States and Germany. Frequent co-authors include Alice B. Gottlieb, Babar Rao, Neil S. Sadick, Misbah Khan, Alan Menter, David E. Cohen, Nicholas A. Soter, Julie V. Schaffer, Ralph F. Turner and Gerd Woetzel. Their work appears in journals such as Expert Systems with Applications, Journal of the American Academy of Dermatology and American Journal of Clinical Pathology.

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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