Malcolm Ware

1.0k citations
14 papers · 766 · h-index 9

Impact in

Papers in

Malcolm Ware

13 papers receiving 718 citations

Peers

Malcolm Ware
Comparison fields: 5 of 50
  • Hardware and Architecture 397
  • Computer Networks and Communications 446
  • Information Systems 380
  • Artificial Intelligence 131
  • Electrical and Electronic Engineering 216
Replace Valentina Salapura with:
Valentina Salapura United States
Allan Knies United States
Martha A. Kim United States
Woongki Baek South Korea
Onur Kocberber United States
Euiseong Seo South Korea
Cho‐Li Wang Hong Kong
Richard M. Yoo United States
Kevin Hsieh United States
Fabio Checconi United States
Malcolm Ware relative to Valentina Salapura United States Valentina Salapura's profile →
Citations per field
00.5×
Valentina Salapura · 1×
Citations per year

Countries citing papers authored by Malcolm Ware

Since Specialization
Citations

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

Fields of papers citing papers by Malcolm Ware

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2007221
2 2007141
3 2001136
4 201091
5 200781
6 200325
7 200725
8 201020
9 201714
10 20117
11 20113
12 20101
13
IBM Research Report Analysis of Transition Energy and Latency of the PowerDown State in Advanced System-on-Chip Processors
20031
14 19640

About Malcolm Ware

Malcolm Ware is a scholar working on Hardware and Architecture, Electrical and Electronic Engineering, Computer Networks and Communications, Information Systems and Materials Chemistry, having authored 14 papers that have together received 766 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (8 papers), Low-power high-performance VLSI design (5 papers), Embedded Systems Design Techniques (4 papers), Cloud Computing and Resource Management (3 papers), Distributed systems and fault tolerance (2 papers), Advanced Data Storage Technologies (2 papers), Data Stream Mining Techniques (1 paper) and Archaeology and Historical Studies (1 paper). The work is most often cited by research in Hardware and Architecture (397 citations), Computer Networks and Communications (446 citations), Information Systems (380 citations), Artificial Intelligence (131 citations) and Electrical and Electronic Engineering (216 citations). Malcolm Ware has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Charles Lefurgy, Xiaorui Wang, Freeman L. Rawson, Michael S. Floyd, Ian H. Witten, Mark Hall, Geoffrey Holmes, Karthick Rajamani, Eibe Frank and Juan Campos. Their work appears in journals such as IBM Journal of Research and Development, Anglia - Zeitschrift für englische Philologie, International Journal of Human-Computer Studies and Cluster Computing.

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.

Explore authors with similar magnitude of impact