Markus Lorch

540 citations
14 papers · 294 · h-index 9

Impact in

Papers in

Markus Lorch

13 papers receiving 260 citations

Peers

Markus Lorch
Comparison fields: 5 of 32
  • Computer Networks and Communications 179
  • Information Systems and Management 53
  • Information Systems 114
  • Sociology and Political Science 147
  • Hardware and Architecture 22
Replace Canh Ngo with:
Canh Ngo Netherlands
Srilekha Mudumbai United States
C. Bryce France
Judith N. Froscher United States
Alexander Otenko United Kingdom
Shalil Majithia United Kingdom
C. English Chile
Geetanjali Sampemane United States
Johannes Kirschnick Germany
Akihiko Tozawa Japan
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Citations per field
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Citations per year

Countries citing papers authored by Markus Lorch

Since Specialization
Citations

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

Fields of papers citing papers by Markus Lorch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2003101
2 200455
3 200328
4 200421
5 200421
6 200418
7 200517
8
A new security model for collaborative environments
200315
9 20078
10
Grid Community Characteristics and their Relation to Grid Security
20037
11
The Virginia Tech Computational Grid: A Research Agenda
20021
12 20081
13
Attributes used in OGSA Authorization
20051
14 20060

About Markus Lorch

Markus Lorch is a scholar working on Computer Networks and Communications, Information Systems and Management, Sociology and Political Science, Information Systems and Hardware and Architecture, having authored 14 papers that have together received 294 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (14 papers), Scientific Computing and Data Management (7 papers), Advanced Data Storage Technologies (5 papers), Distributed systems and fault tolerance (4 papers), Access Control and Trust (3 papers), Peer-to-Peer Network Technologies (2 papers), Cloud Computing and Resource Management (2 papers) and Parallel Computing and Optimization Techniques (1 paper). The work is most often cited by research in Computer Networks and Communications (179 citations), Information Systems and Management (53 citations), Information Systems (114 citations), Sociology and Political Science (147 citations) and Hardware and Architecture (22 citations). Markus Lorch has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Dennis Kafura, Sumit Shah, David B. Adams, Jim Basney, D. Agarwal, Mary R. Thompson, Marcia Perry, I. Fisk, K. Keahey and Abhishek Rana. Their work appears in journals such as Journal of Grid Computing, International Journal of High Performance Computing and Networking, 2006 IEEE Nuclear Science Symposium Conference Record, University of North Texas Digital Library (University of North Texas) and VTechWorks (Virginia Tech).

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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