Leo Mark

1.2k citations
52 papers · 661 · h-index 13

Impact in

Papers in

Leo Mark

51 papers receiving 590 citations

Peers

Leo Mark
Comparison fields: 5 of 70
  • Signal Processing 297
  • Computer Networks and Communications 470
  • Artificial Intelligence 332
  • Information Systems 180
  • Information Systems and Management 46
Replace Fred J. Maryanski with:
Fred J. Maryanski United States
Jaroslav Pokorný Czechia
James P. Fry United States
Ehud Gudes Israel
Micheł Scholl France
Giuseppe Pelagatti Italy
Marc H. Scholl Germany
Jacob Stein United States
Peter T. Wood United Kingdom
Reinhard Pichler Austria
Leo Mark relative to Fred J. Maryanski United States Fred J. Maryanski's profile →
Citations per field
00.5×5.5×
Fred J. Maryanski · 1×
Citations per year

Countries citing papers authored by Leo Mark

Since Specialization
Citations

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

Fields of papers citing papers by Leo Mark

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1990236
2 199150
3 200028
4 200823
5 200222
6 200221
7 201118
8 199415
9 199215
10 199514
11
Integration of Data, Schema and Meta-Schema in the Context of Self-Documenting Data Models.
198313
12 199512
13
A framework for vacuuming temporal databases
199012
14 198511
15 199311
16 199510
17
Using caching, cache indexing and differential techniques to efficiently support transaction time
199010
18
What is the binary relationship approach
19839
19 20119
20 19899

About Leo Mark

Leo Mark is a scholar working on Computer Networks and Communications, Artificial Intelligence, Signal Processing, Information Systems and Industrial and Manufacturing Engineering, having authored 52 papers that have together received 661 indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (27 papers), Data Management and Algorithms (19 papers), Semantic Web and Ontologies (12 papers), Service-Oriented Architecture and Web Services (10 papers), Distributed systems and fault tolerance (9 papers), Scientific Computing and Data Management (5 papers), Business Process Modeling and Analysis (5 papers) and Petri Nets in System Modeling (4 papers). The work is most often cited by research in Signal Processing (297 citations), Computer Networks and Communications (470 citations), Artificial Intelligence (332 citations), Information Systems (180 citations) and Information Systems and Management (46 citations). Leo Mark has collaborated with scholars based in United States, Denmark and Taiwan. Frequent co-authors include Nick Roussopoulos, Witold Litwin, Christian S. Jensen, N. Roussopoulos, G. Harhalakis, Shamkant B. Navathe, Edward Omiecinski, Spencer Rugaber, Pedro R. Muro‐Medrano and Timos Sellis. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, Information Systems, Data & Knowledge Engineering, Information and Software Technology and Computers & Geosciences.

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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