William T. McCormick

735 citations
5 papers · 528 indexed · 1 hit paper · h-index 4
Topics
Hydrology and Watershed Management Studies (2 papers)Manufacturing Process and Optimization (1 paper)Cryospheric studies and observations (1 paper)
Partner nations
United StatesIsrael

In The Last Decade

William T. McCormick

5 papers receiving 492 citations

Hit Papers

Problem Decomposition and Data Reorganization by a Cluste...19722026199020081972100200300400500

Peers

William T. McCormick
Comparison fields: 5 of 63
  • Industrial and Manufacturing Engineering 321
  • Computer Networks and Communications 89
  • Signal Processing 72
  • Information Systems 69
  • Artificial Intelligence 63
Replace Moises Sudit with:
Moises Sudit United States
Marc Nunkesser Switzerland
Daniele Pretolani Italy
Wen-Jing Hsu Singapore
Edward J. Barkmeyer United States
Isabel Rosseti Brazil
Sinan Kayalıgil Türkiye
Ken Kennedy United States
Dan Puiu Romania
D. Janaki Ram India
William T. McCormick relative to Moises Sudit United States Moises Sudit's profile →
Citations per field
00.5×5.3×
Moises Sudit · 1×
Citations per year

Countries citing papers authored by William T. McCormick

Since Specialization
Citations

This map shows the geographic impact of William T. McCormick'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 William T. McCormick with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William T. McCormick more than expected).

Fields of papers citing papers by William T. McCormick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William T. McCormick. 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 William T. McCormick. The network helps show where William T. McCormick may publish in the future.

Co-authorship network of co-authors of William T. McCormick

This figure shows the co-authorship network connecting the top 25 collaborators of William T. McCormick. A scholar is included among the top collaborators of William T. McCormick based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with William T. McCormick. William T. McCormick is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

5 of 5 papers shown
#WorkIndexed citations
1 4
2 4
3
CMS Energy Corporation
1
4
Problem Decomposition and Data Reorganization by a Clustering Techniquebreakdown →
508
5
Identification of Data Structures and Relationships by Matrix Reordering Techniques.
11

About William T. McCormick

William T. McCormick is a scholar working on Water Science and Technology, Soil Science and Industrial and Manufacturing Engineering, having authored 5 papers that have together received 528 indexed citations. Recurring topics across this work include Hydrology and Watershed Management Studies (2 papers), Manufacturing Process and Optimization (1 paper) and Cryospheric studies and observations (1 paper). The work is most often cited by research in Industrial and Manufacturing Engineering (321 citations), Signal Processing (72 citations) and Building and Construction (53 citations). William T. McCormick has collaborated with scholars based in United States and Israel. Frequent co-authors include Paul J. Schweitzer, Thomas W. White, John J. Martin and Jeffrey D. Niemann. Their work appears in journals such as Operations Research, Journal of Hydrologic Engineering and Journal of Hydrology Regional Studies.

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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