This map shows the geographic impact of Edward Hirsch'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 Edward Hirsch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Edward Hirsch more than expected).
This network shows the impact of papers produced by Edward Hirsch. 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 Edward Hirsch. The network helps show where Edward Hirsch may publish in the future.
Co-authorship network of co-authors of Edward Hirsch
This figure shows the co-authorship network connecting the top 25 collaborators of Edward Hirsch.
A scholar is included among the top collaborators of Edward Hirsch 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 Edward Hirsch. Edward Hirsch is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Filmus, Yuval, et al.. (2023). Irreducible Subcube Partitions. The Electronic Journal of Combinatorics. 30(3).4 indexed citations
3.
Golovnev, Alexander, Edward Hirsch, & Alexander S. Kulikov. (2015). A better-than-3n lower bound for the circuit complexity of an explicit function.. Electronic colloquium on computational complexity. 22. 166.4 indexed citations
4.
Hirsch, Edward, et al.. (2011). Optimal heuristic algorithms for the image of an injective function.. Electronic colloquium on computational complexity. 18. 91.
5.
Hirsch, Edward, et al.. (2008). The making of a sonnet : a Norton anthology.
6.
Hirsch, Edward & Sergey Nikolenko. (2008). A FEEBLY TRAPDOOR FUNCTION. American Journal of Nephrology. 39(6). 484–90.1 indexed citations
7.
Grigoriev, Dima, John Harrison, & Edward Hirsch. (2006). Computer science -- theory and applications : First International Computer Science Symposium in Russia, CSR 2006, St. Petersburg, Russia, June 8-12, 2006 : proceedings. Springer eBooks.2 indexed citations
Dantsin, Evgeny, et al.. (2005). Clause Shortening Combined with Pruning Yields a New Upper Bound for Deterministic SAT Algorithms. Electronic colloquium on computational complexity.1 indexed citations
10.
Hirsch, Edward & Arist Kojevnikov. (2003). Several notes on the power of Gomory-Chvatal cuts. Electronic colloquium on computational complexity. 10.4 indexed citations
Dantsin, Evgeny, et al.. (2001). Algorithms for SAT and Upper Bounds on Their Complexity. Electronic colloquium on computational complexity. 8.11 indexed citations
Hirsch, Edward. (2000). Worst-case time bounds for MAX-k-SAT w.r.t. the number of variables using local search. Electronic colloquium on computational complexity. 7.2 indexed citations
16.
Gramm, Jens, Edward Hirsch, Rolf Niedermeier, & Peter Rossmanith. (2000). New Worst-Case Upper Bounds for MAX-2-SAT with Application to MAX-CUT. Electronic colloquium on computational complexity. 7(2). 358–64.12 indexed citations
17.
Hirsch, Edward. (1999). Responsive Reading. University of Michigan Press eBooks.1 indexed citations
18.
Hirsch, Edward. (1998). Two new upper bounds for SAT. Symposium on Discrete Algorithms. 521–530.20 indexed citations
19.
Dantsin, Evgeny, et al.. (1998). APPROXIMATION ALGORITHMS FOR MAX SAT: A BETTER PERFORMANCE RATIO AT THE COST OF A LONGER RUNNING TIME. 276(5318). 1482–4.7 indexed citations
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.