R. C. Lacher

1.1k total citations
50 papers, 727 citations indexed

About

R. C. Lacher is a scholar working on Mathematical Physics, Geometry and Topology and Artificial Intelligence. According to data from OpenAlex, R. C. Lacher has authored 50 papers receiving a total of 727 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Mathematical Physics, 13 papers in Geometry and Topology and 12 papers in Artificial Intelligence. Recurrent topics in R. C. Lacher's work include Neural Networks and Applications (12 papers), Homotopy and Cohomology in Algebraic Topology (12 papers) and Topological and Geometric Data Analysis (11 papers). R. C. Lacher is often cited by papers focused on Neural Networks and Applications (12 papers), Homotopy and Cohomology in Algebraic Topology (12 papers) and Topological and Geometric Data Analysis (11 papers). R. C. Lacher collaborates with scholars based in United States. R. C. Lacher's co-authors include Pamela K. Coats, John Bryant, D. R. McMillan, L. N. Howard, Ross Geoghegan, D. W. Sumners, Dušan Repovš, George Buzyna, Robert A. McArthur and Christos A. Nicolaou and has published in prestigious journals such as The Journal of Chemical Physics, Macromolecules and European Journal of Operational Research.

In The Last Decade

R. C. Lacher

38 papers receiving 451 citations

Peers

R. C. Lacher
Comparison fields: 5 of 89
  • Mathematical Physics 249
  • Geometry and Topology 234
  • Artificial Intelligence 175
  • Computational Theory and Mathematics 161
  • Accounting 114
Replace Guohua Zhang with:
Guohua Zhang China
Frank Levin Germany
W. B. Jurkat Germany
J. Michael Steele United States
Anatole Beck United States
Louise E. Moser United States
Wen-tsün Wu China
Clemens Heuberger Austria
Stavros Papastavridis Greece
Jim Lawrence United States
Guohua Zhang China View profile →
Citations per field, relative to R. C. Lacher
R. C. Lacher · 1×
Citations per year, relative to R. C. Lacher
R. C. Lacher · 1×

Countries citing papers authored by R. C. Lacher

Since Specialization
Citations

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

Fields of papers citing papers by R. C. Lacher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R. C. Lacher. 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 R. C. Lacher. The network helps show where R. C. Lacher may publish in the future.

Co-authorship network of co-authors of R. C. Lacher

This figure shows the co-authorship network connecting the top 25 collaborators of R. C. Lacher. A scholar is included among the top collaborators of R. C. Lacher 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 R. C. Lacher. R. C. Lacher is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1
TOPOLOGICAL STRUCTURE OF SEMICRYSTALLINE POLYMERS·
0
2 2
3 4
4 7
5 2
6 80
7 0
8 5
9 5
10 1
11 12
12
Catastrophic Changes in Circulation Flow Patterns
2
13 5
14 2
15 2
16 2
17 1
18 44
19 10
20 7

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

Rankless by CCL
2026