Gregory Hackmann

1.6k citations
39 papers · 1.2k · h-index 20

Impact in

Papers in

Gregory Hackmann

37 papers receiving 1.1k citations

Peers

Gregory Hackmann
Comparison fields: 5 of 84
  • Computer Networks and Communications 810
  • Electrical and Electronic Engineering 423
  • Management Information Systems 67
  • Computer Vision and Pattern Recognition 148
  • Information Systems 155
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Shuva Paul United States
Rajesh Arya India
Uthman Baroudi Saudi Arabia
Anish Kurien South Africa
Chunxia Dou China
Aidong Xu China
Yunju Baek South Korea
Adel Ben Mnaouer United Arab Emirates
Stavros Koubias Greece
Alberto Petrillo Italy
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Citations per field
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Citations per year

Countries citing papers authored by Gregory Hackmann

Since Specialization
Citations

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

Fields of papers citing papers by Gregory Hackmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013165
2 2007100
3 201383
4 200882
5 200478
6 200670
7 201360
8 200857
9 201249
10 201347
11 200540
12 200636
13 201235
14 201134
15 201031
16 201329
17 201128
18 201027
19 201224
20 201024

About Gregory Hackmann

Gregory Hackmann is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Civil and Structural Engineering, Information Systems and Artificial Intelligence, having authored 39 papers that have together received 1.2k indexed citations. Recurring topics across this work include Energy Efficient Wireless Sensor Networks (16 papers), Mobile Agent-Based Network Management (9 papers), Wireless Networks and Protocols (8 papers), Service-Oriented Architecture and Web Services (6 papers), Distributed systems and fault tolerance (6 papers), Structural Health Monitoring Techniques (6 papers), Opportunistic and Delay-Tolerant Networks (5 papers) and Energy Harvesting in Wireless Networks (5 papers). The work is most often cited by research in Computer Networks and Communications (810 citations), Electrical and Electronic Engineering (423 citations), Management Information Systems (67 citations), Computer Vision and Pattern Recognition (148 citations) and Information Systems (155 citations). Gregory Hackmann has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Chenyang Lu, Gruia-Catalin Roman, Mo Sha, Shirley J. Dyke, Octav Chipara, Chien‐Liang Fok, Guirong Yan, Christopher Gill, Kevin Klues and Nestor Castaneda. Their work appears in journals such as Journal of Hospital Medicine, IEEE Transactions on Parallel and Distributed Systems, International Journal of Cooperative Information Systems, IEEE Transactions on Network and Service Management and Computer Communications.

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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