Daniel Zinn

1.2k citations
33 papers · 501 · h-index 13

Impact in

Papers in

Daniel Zinn

31 papers receiving 487 citations

Peers

Daniel Zinn
Comparison fields: 5 of 82
  • Information Systems and Management 142
  • Computer Networks and Communications 183
  • Physiology 175
  • Information Systems 104
  • Infectious Diseases 76
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Citations per year

Countries citing papers authored by Daniel Zinn

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Zinn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201696
2 200896
3
Langerhans Cell Histiocytosis: Emerging Insights and Clinical Implications.
201641
4 201728
5 200525
6 201424
7 202023
8 200919
9 201319
10 200916
11 200416
12 201113
13 201113
14
Processing Top-N Queries in P2P-based Web Integration Systems with Probabilistic Guarantees
200510
15 20148
16 20107
17 20187
18 20095
19
Modeling and querying vague spatial objects using shapelets
20074
20 20154

About Daniel Zinn

Daniel Zinn is a scholar working on Computer Networks and Communications, Information Systems and Management, Physiology, Molecular Biology and Information Systems, having authored 33 papers that have together received 501 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (10 papers), Scientific Computing and Data Management (10 papers), Histiocytic Disorders and Treatments (8 papers), Advanced Database Systems and Queries (6 papers), Advanced Data Storage Technologies (5 papers), Data Management and Algorithms (4 papers), Distributed systems and fault tolerance (4 papers) and Graph Theory and Algorithms (3 papers). The work is most often cited by research in Information Systems and Management (142 citations), Computer Networks and Communications (183 citations), Physiology (175 citations), Information Systems (104 citations) and Infectious Diseases (76 citations). Daniel Zinn has collaborated with scholars based in United States, Belgium and Canada. Frequent co-authors include Bertram Ludäscher, Shawn Bowers, Timothy McPhillips, Carl E. Allen, Rikhia Chakraborty, Harshal Abhyankar, Miriam Mérad, Kenneth L. McClain, Poulikos I. Poulikakos and Thomas M. Burke. Their work appears in journals such as Blood, Future Generation Computer Systems, Journal of Pediatric Hematology/Oncology, JCO Precision Oncology and Journal of Computer and System Sciences.

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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