A. Dalcher

3.0k total citations · 1 hit paper
8 papers, 2.3k citations indexed

About

A. Dalcher is a scholar working on Global and Planetary Change, Atmospheric Science and Economics and Econometrics. According to data from OpenAlex, A. Dalcher has authored 8 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Global and Planetary Change, 6 papers in Atmospheric Science and 2 papers in Economics and Econometrics. Recurrent topics in A. Dalcher's work include Meteorological Phenomena and Simulations (5 papers), Climate variability and models (4 papers) and Atmospheric and Environmental Gas Dynamics (2 papers). A. Dalcher is often cited by papers focused on Meteorological Phenomena and Simulations (5 papers), Climate variability and models (4 papers) and Atmospheric and Environmental Gas Dynamics (2 papers). A. Dalcher collaborates with scholars based in United States and Brazil. A. Dalcher's co-authors include P. J. Sellers, Yale Mintz, Y. C. Sud, Eugenia Kalnay, W. James Shuttleworth, John Roberts, Michael Ghil, Ross N. Hoffman, Stephen E. Cohn and Dick Dee and has published in prestigious journals such as IEEE Transactions on Automatic Control, Journal of the Atmospheric Sciences and Monthly Weather Review.

In The Last Decade

A. Dalcher

8 papers receiving 2.0k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A Simple Biosphere Model (SIB) for Use within General Circulation Models

1986 1.7k citations P. J. Sellers, Yale Mintz et al. Journal of the Atmospheric Sciences profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
A. Dalcher United States	8	1.8k	1.3k	475	400	266	8	2.3k
George R. Diak United States	24	1.6k 0.9×	676 0.5×	680 1.4×	291 0.7×	418 1.6×	50	2.0k
J. L. Eastman United States	17	1.6k 0.9×	1.0k 0.8×	598 1.3×	339 0.8×	281 1.1×	24	2.0k
R. J. Gurney United Kingdom	24	1.3k 0.7×	1.5k 1.1×	1.5k 3.1×	571 1.4×	319 1.2×	106	2.9k
Bertrand Bonan France	14	1.9k 1.0×	1.7k 1.3×	467 1.0×	310 0.8×	213 0.8×	36	2.5k
B. Goodison Canada	30	1.5k 0.8×	2.7k 2.1×	579 1.2×	650 1.6×	250 0.9×	60	3.3k
John R. Mecikalski United States	28	3.0k 1.6×	1.9k 1.5×	1.1k 2.4×	479 1.2×	476 1.8×	95	3.7k
D. Vidal‐Madjar France	27	698 0.4×	744 0.6×	1.1k 2.2×	297 0.7×	238 0.9×	55	1.8k
Diego Fernández‐Prieto Italy	19	2.4k 1.3×	1.2k 0.9×	967 2.0×	1.3k 3.2×	490 1.8×	60	3.4k
John Bolten United States	29	1.3k 0.7×	1.2k 0.9×	1.2k 2.6×	720 1.8×	346 1.3×	82	2.5k
A.F. Moene Netherlands	30	2.2k 1.2×	2.0k 1.5×	1.4k 2.9×	225 0.6×	105 0.4×	96	3.1k

Countries citing papers authored by A. Dalcher

Since Specialization

Citations

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

Fields of papers citing papers by A. Dalcher

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A. Dalcher

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

All Works

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8 of 8 papers shown

1.

Sellers, P. J., et al.. (1989). Calibrating the Simple Biosphere Model for Amazonian Tropical Forest Using Field and Remote Sensing Data. Part I: Average Calibration with Field Data. Journal of Applied Meteorology. 28(8). 727–759. 153 indexed citations

2.

Dalcher, A., Eugenia Kalnay, & Ross N. Hoffman. (1988). Medium Range Lagged Average Forecasts. Monthly Weather Review. 116(2). 402–416. 49 indexed citations

3.

Kalnay, Eugenia & A. Dalcher. (1987). Forecasting Forecast Skill. Monthly Weather Review. 115(2). 349–356. 80 indexed citations

4.

Dalcher, A. & Eugenia Kalnay. (1987). Error growth and predictability in operational ECMWF forecasts. Tellus A Dynamic Meteorology and Oceanography. 39A(5). 474–491. 100 indexed citations

5.

Dalcher, A. & Eugenia Kalnay. (1987). Error growth and predictability in operational ECMWF forecasts. Tellus A Dynamic Meteorology and Oceanography. 39(5). 474–474. 138 indexed citations

6.

Sellers, P. J., Yale Mintz, Y. C. Sud, & A. Dalcher. (1986). A Simple Biosphere Model (SIB) for Use within General Circulation Models. Journal of the Atmospheric Sciences. 43(6). 505–531. 1667 indexed citations breakdown →

7.

Dee, Dick, Stephen E. Cohn, A. Dalcher, & Michael Ghil. (1985). An efficient algorithm for estimating noise covariances in distributed systems. IEEE Transactions on Automatic Control. 30(11). 1057–1065. 56 indexed citations

8.

Dalcher, A., et al.. (1983). A Stochastic-Dynamic Model for the Spatial Structure of Forecast Error Statistics. Monthly Weather Review. 111(4). 701–722. 60 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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