David Köll

526 citations
26 papers · 240 · 1 hit paper · h-index 9

Impact in

Papers in

David Köll

22 papers receiving 228 citations

David Köll's Hit Papers

From Mancession to Shecession: Women’s Employment in Regular and Pandemic Recessions 2022 · 73 citations
730+1+2Years since publication204060

Peers

David Köll
Comparison fields: 5 of 49
  • Computer Networks and Communications 94
  • Gender Studies 29
  • Information Systems 57
  • Economics and Econometrics 52
  • Computer Science Applications 10
Replace Weiren Wang with:
Weiren Wang United States
Jan Göbel Germany
Laura Zayatz United States
Cédric Hébert Italy
Ida Mele Italy
Evan Saltzman United States
Peter Croll Australia
Jiehua Chen Germany
V. Ramaswamy India
Zev Winkelman United States
David Köll relative to Weiren Wang United States Weiren Wang's profile →
Citations per field
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Citations per year

Countries citing papers authored by David Köll

Since Specialization
Citations

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

Fields of papers citing papers by David Köll

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside David Köll, 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 David Köll Line = papers co-authored together David Köll links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1
From Mancession to Shecession: Women’s Employment in Regular and Pandemic Recessions
Hit paper breakdown →
202273
2 199920
3 202120
4 201715
5 201114
6 201713
7 201413
8 201412
9 201411
10 20158
11 20178
12 20175
13 20195
14 20194
15 20184
16 20194
17 20173
18 20193
19 20172
20 20141

About David Köll

David Köll is a scholar working on Computer Networks and Communications, Information Systems, Artificial Intelligence, Sociology and Political Science and Signal Processing, having authored 26 papers that have together received 240 indexed citations. Recurring topics across this work include Caching and Content Delivery (7 papers), Software-Defined Networks and 5G (6 papers), Internet Traffic Analysis and Secure E-voting (6 papers), Gender, Labor, and Family Dynamics (4 papers), Network Security and Intrusion Detection (4 papers), Cloud Computing and Resource Management (4 papers), Privacy-Preserving Technologies in Data (4 papers) and Advanced Malware Detection Techniques (4 papers). The work is most often cited by research in Computer Networks and Communications (94 citations), Gender Studies (29 citations), Information Systems (57 citations), Economics and Econometrics (52 citations) and Computer Science Applications (10 citations). David Köll has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Xiaoming Fu, Titan Alon, Matthias Doepke, Michèle Tertilt, Jun Li, Mayutan Arumaithurai, Jun Li, Jun Li, J. C. Jager and Thomas Fetz. Their work appears in journals such as ACM SIGCOMM Computer Communication Review, Computer Communications, Future Generation Computer Systems, IEEE Transactions on Network and Service Management and NBER Macroeconomics Annual.

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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