Chris Birchenhall

5.9k total citations · 1 hit paper
24 papers, 4.5k citations indexed

About

Chris Birchenhall is a scholar working on Economics and Econometrics, Management Science and Operations Research and General Economics, Econometrics and Finance. According to data from OpenAlex, Chris Birchenhall has authored 24 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Economics and Econometrics, 6 papers in Management Science and Operations Research and 5 papers in General Economics, Econometrics and Finance. Recurrent topics in Chris Birchenhall's work include Economic theories and models (6 papers), Innovation Diffusion and Forecasting (4 papers) and Monetary Policy and Economic Impact (3 papers). Chris Birchenhall is often cited by papers focused on Economic theories and models (6 papers), Innovation Diffusion and Forecasting (4 papers) and Monetary Policy and Economic Impact (3 papers). Chris Birchenhall collaborates with scholars based in United Kingdom, Netherlands and Italy. Chris Birchenhall's co-authors include Saul A. Teukolsky, William T. Vetterling, William H. Press, Brian P. Flannery, Paul Windrum, Denise R. Osborn, Jeremy Smith, Saeed Heravi, Tommaso Ciarli and Giorgio Fagiolo and has published in prestigious journals such as The Economic Journal, Technological Forecasting and Social Change and Journal of Economic Theory.

In The Last Decade

Chris Birchenhall

22 papers receiving 4.2k citations

Hit Papers

Numerical Recipes in C: The Art of Scientific Computing. 1994 2026 2004 2015 1994 1000 2.0k 3.0k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Chris Birchenhall United Kingdom 15 560 487 439 379 370 24 4.5k
Donald G. Watts Canada 25 538 1.0× 279 0.6× 382 0.9× 674 1.8× 623 1.7× 74 9.7k
David F. Shanno United States 32 241 0.4× 221 0.5× 747 1.7× 570 1.5× 212 0.6× 65 6.5k
Thomas F. Coleman United States 36 348 0.6× 602 1.2× 1.1k 2.6× 774 2.0× 414 1.1× 122 9.2k
Peter Bloomfield United States 31 1.0k 1.8× 239 0.5× 203 0.5× 406 1.1× 168 0.5× 81 6.5k
Robert F. Ling United States 27 263 0.5× 505 1.0× 268 0.6× 996 2.6× 460 1.2× 57 6.9k
Robb J. Muirhead United States 16 728 1.3× 433 0.9× 579 1.3× 1.6k 4.2× 290 0.8× 36 8.5k
Robert E. Kalaba United States 41 291 0.5× 335 0.7× 425 1.0× 1.0k 2.6× 259 0.7× 417 8.7k
Robert V. Hogg United States 39 511 0.9× 312 0.6× 271 0.6× 832 2.2× 235 0.6× 124 6.3k
R. Ash United States 15 253 0.5× 362 0.7× 479 1.1× 1.1k 2.9× 344 0.9× 44 4.1k
C. G. Broyden Italy 19 213 0.4× 219 0.4× 905 2.1× 657 1.7× 229 0.6× 41 7.4k

Countries citing papers authored by Chris Birchenhall

Since Specialization
Citations

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

Fields of papers citing papers by Chris Birchenhall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chris Birchenhall

This figure shows the co-authorship network connecting the top 25 collaborators of Chris Birchenhall. A scholar is included among the top collaborators of Chris Birchenhall 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 Chris Birchenhall. Chris Birchenhall 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
1.
Birchenhall, Chris & Paul Windrum. (2014). Global Warming: Technology, Preferences and Policy. Jahrbücher für Nationalökonomie und Statistik. 234(2-3). 366–387.
2.
Windrum, Paul, Tommaso Ciarli, & Chris Birchenhall. (2008). Environmental impact, quality, and price: Consumer trade-offs and the development of environmentally friendly technologies. Technological Forecasting and Social Change. 76(4). 552–566. 40 indexed citations
3.
Fagiolo, Giorgio, Chris Birchenhall, & Paul Windrum. (2007). Empirical Validation in Agent-based Models: Introduction to the Special Issue. Computational Economics. 30(3). 189–194. 50 indexed citations
4.
Windrum, Paul & Chris Birchenhall. (2005). Structural change in the presence of network externalities: a co-evolutionary model of technological successions. Journal of Evolutionary Economics. 15(2). 123–148. 56 indexed citations
5.
Sensier, Marianne, Michael J. Artis, Denise R. Osborn, & Chris Birchenhall. (2004). Domestic and international influences on business cycle regimes in Europe. International Journal of Forecasting. 20(2). 343–357. 46 indexed citations
6.
Birchenhall, Chris, et al.. (1999). Predicting U.S. Business-Cycle Regimes. Journal of Business and Economic Statistics. 17(3). 313–323. 36 indexed citations
7.
Osborn, Denise R., Saeed Heravi, & Chris Birchenhall. (1999). Seasonal unit roots and forecasts of two-digit European industrial production. International Journal of Forecasting. 15(1). 27–47. 47 indexed citations
8.
Birchenhall, Chris, et al.. (1999). Predicting U.S. Business-Cycle Regimes. Journal of Business and Economic Statistics. 17(3). 313–313. 27 indexed citations
9.
Windrum, Paul & Chris Birchenhall. (1998). Is product life cycle theory a special case? Dominant designs and the emergence of market niches through coevolutionary-learning. Structural Change and Economic Dynamics. 9(1). 109–134. 138 indexed citations
10.
Birchenhall, Chris, Nikos Kastrinos, & Stan Metcalfe. (1997). Genetic algorithms in evolutionary modelling. Journal of Evolutionary Economics. 7(4). 375–393. 23 indexed citations
11.
Birchenhall, Chris. (1995). Genetic Algorithms, Classifier Systems and Genetic Programming and their Use in the Models of Adaptive Behaviour and Learning. The Economic Journal. 105(430). 788–788. 6 indexed citations
12.
Birchenhall, Chris. (1995). Modular technical change and genetic algorithms. Computational Economics. 8(3). 233–253. 25 indexed citations
13.
Birchenhall, Chris, William H. Press, Saul A. Teukolsky, William T. Vetterling, & Brian P. Flannery. (1994). Numerical Recipes in C: The Art of Scientific Computing.. The Economic Journal. 104(424). 725–725. 3644 indexed citations breakdown →
14.
Birchenhall, Chris, et al.. (1989). A Seasonal Model of Consumption. The Economic Journal. 99(397). 837–837. 40 indexed citations
15.
Osborn, Denise R., et al.. (1988). SEASONALITY AND THE ORDER OF INTEGRATION FOR CONSUMPTION*. Oxford Bulletin of Economics and Statistics. 50(4). 361–377. 209 indexed citations
16.
Birchenhall, Chris. (1984). Mathematics for Modern Economics. Medical Entomology and Zoology. 4 indexed citations
17.
Birchenhall, Chris & Paul A. Grout. (1979). On equal plans with an infinite horizon. Journal of Economic Theory. 21(2). 249–264. 5 indexed citations
18.
Birchenhall, Chris. (1977). Conditions for the existence of maximal elements in compact sets. Journal of Economic Theory. 16(1). 111–115. 4 indexed citations
19.
Birchenhall, Chris, et al.. (1976). Cyclical Indicators for the Post War British Economy.. The Economic Journal. 86(341). 128–128. 10 indexed citations
20.
Birchenhall, Chris, et al.. (1975). Public Goods and Decentralization.. The Economic Journal. 85(338). 406–406. 4 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.

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